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Spatial filters yield stable features for error-related potentials across conditions
Publications associées (38)
Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials
This paper presents a new approach for self-calibration BCI for reaching tasks using error-related potentials. The proposed method exploits task constraints to simultaneously calibrate the decoder and control the device, by using a robust likelihood functi ...
Public Library of Science2015Errare machinale est: The use of error-related potentials in brain-machine interfaces
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Aleksander Sobolewski
The ability to recognize errors is crucial for efficient behavior. Numerous studies have identified electrophysiological correlates of error recognition in the human brain (error-related potentials, ErrPs). Consequently, it has been proposed to use these s ...
Frontiers Research Foundation2014Latency correction of error-related potentials reduces BCI calibration time
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil
Calibration of brain-machine interfaces exploiting event-related potentials has to be performed for each experimental paradigm. Even if these signals have been used in previous experiments with different protocols. We show that use of signals from previous ...
2014Brain connectivity in continuous error tasks
Error-related potentials (ErrP) have been recently incorporated in brain-machine interfaces (BMIs) due to its ability to adapt and correct both the output of the BMI or the behavior of the machine. Most of these applications rely on synchronous tasks with ...
2014Latency Correction of Event-Related Potentials Between Different Experimental Protocols
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil
Objective: A fundamental issue in EEG event-related potentials (ERPs) studies is the amount of data required to have an accurate ERP model. This also impacts the time required to train a classifier for a brain-computer interface (BCI). This issue is mainly ...
Institute of Physics2014Task-Dependent Signal Variations in EEG Error-Related Potentials for Brain-Computer Interfaces
Objective. A major difficulty of brain–computer interface (BCI) technology is dealing with the noise of EEG and its signal variations. Previous works studied time-dependent non-stationarities for BCIs in which the user's mental task was independent of the ...
Institute of Physics2013Shared-control brain-computer interface for a two dimensional reaching task using EEG error-related potentials
One of the main problems of EEG-based brain computer interfaces (BCIs) is their low information rate, thus for complex tasks the user needs large amounts of time to solve the task. In an attempt to reduce this time and improve the application robustness, r ...
2013Inverse Solutions for Brain Computer Interface
José del Rocio Millán Ruiz, Mohit Kumar Goel
Inverse solution allows to estimate sources that generate a given scalp EEG topography. Recently, it has been used in Brain Computer Interfaces (BCIs) to extract robust features based on the hypothesis that projection onto the source space (high dimensiona ...
EPFL2013Using frequency-domain features for the generalization of EEG error-related potentials among different tasks
EEG brain-computer interfaces (BCI) require a calibration phase prior to the on-line control of the device, which is a difficulty for the practical development of this technology as it is user-, session- and task-specific. The large body of research in BCI ...
2013Detection of self-paced reaching movement intention from EEG signals
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Eileen Lew Yi Lee
Future neuroprosthetic devices, in particular upper limb, will require decoding and executing not only the user's intended movement type, but also when the user intends to execute the movement. This work investigates the potential use of brain signals reco ...
Frontiers Research Foundation2012